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Enhanced cognitive demodulation with artificial intelligence

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Title: Enhanced cognitive demodulation with artificial intelligence
Authors: Ren, H
Shin, S
Lucyszyn, S
Item Type: Journal Article
Abstract: The low-cost ‘THz Torch’ wireless link technology is still in its infancy. Until very recently, inherent limitations with available hardware has resulted in a modest operational figure of merit performance (Range × Bit Rate). However, a breakthrough was reported here by the authors, with the introduction of ‘Cognitive Demodulation’. This bypassed the thermal time constant constraints normally associated with both the thermal emitter and sensor; allowing step-change increases in both Range and Bit Rate with direct electronic modulation. This paper concentrates on advancements to the bit error rate (BER) performance. Here, separate techniques are introduced to the demodulation software that, when combined, result in enhanced Cognitive Demodulation. A factor of more than 100 improvement in BER was demonstrated within the laboratory and approximately a 60-fold improvement in a non-laboratory environment; both at the maximum Range and Bit Rate of 2 m and 125 bps, respectively, demonstrated recently. Moreover, demodulation speed is increased by almost a factor of 10,000; allowing for real-time demodulation while easing future computational hardware requirements. In addition to these software advancements, the paper demonstrates important improvements in hardware that has brought the technology out of the laboratory, with field trials being performed within an office corridor.
Issue Date: 20-Nov-2020
Date of Acceptance: 9-Nov-2020
URI: http://hdl.handle.net/10044/1/85374
DOI: 10.1038/s41598-020-77262-0
ISSN: 2045-2322
Publisher: Nature Publishing Group
Start Page: 1
End Page: 16
Journal / Book Title: Scientific Reports
Volume: 10
Copyright Statement: © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Sponsor/Funder: UK Space Agency
Funder's Grant Number: CT11834
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
Publication Status: Published
Open Access location: https://www.nature.com/articles/s41598-020-77262-0
Article Number: ARTN 20298
Online Publication Date: 2020-11-20
Appears in Collections:Electrical and Electronic Engineering

This item is licensed under a Creative Commons License Creative Commons